




import argparse
import collections
import os
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_table.py
_lowerCamelCase      :						Tuple							=  """src/transformers"""
_lowerCamelCase      :						Any							=  """docs/source/en"""
_lowerCamelCase      :						Dict							=  """."""







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_					,							lowercase_		)  ->			Any:



       """simple docstring"""

       with open(lowercase_					,							'''r'''					,							encoding='''utf-8'''					,							newline='''\n'''		) as f:
              A__ 					=       f.readlines()
       # Find the start prompt.
       A__ 					=       0
       while not lines[start_index].startswith(lowercase_		):
              start_index += 1
       start_index += 1

       A__ 					=       start_index
       while not lines[end_index].startswith(lowercase_		):
              end_index += 1
       end_index -= 1

       while len(lines[start_index]		) <= 1:
              start_index += 1
       while len(lines[end_index]		) <= 1:
              end_index -= 1
       end_index += 1
       return "".join(lines[start_index:end_index]		), start_index, end_index, lines


# Add here suffixes that are used to identify models, separated by |
_lowerCamelCase      :						Optional[Any]							=  """Model|Encoder|Decoder|ForConditionalGeneration"""
# Regexes that match TF/Flax/PT model names.
_lowerCamelCase      :						Optional[Any]							=  re.compile(r"""TF(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")
_lowerCamelCase      :						Union[str, Any]							=  re.compile(r"""Flax(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")
# Will match any TF or Flax model too so need to be in an else branch afterthe two previous regexes.
_lowerCamelCase      :						str							=  re.compile(r"""(.*)(?:Model|Encoder|Decoder|ForConditionalGeneration)""")


# This is to make sure the transformers module imported is the one in the repo.
_lowerCamelCase      :						str							=  direct_transformers_import(TRANSFORMERS_PATH)







def SCREAMING_SNAKE_CASE							(			lowercase_		)  ->			Union[str, Any]:



       """simple docstring"""

       A__ 					=       re.finditer('''.+?(?:(?<=[a-z])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])|$)'''					,							lowercase_		)
       return [m.group(0		) for m in matches]







def SCREAMING_SNAKE_CASE							(			lowercase_					,							lowercase_		)  ->			Optional[int]:



       """simple docstring"""

       A__ 					=       2 if text == '''✅''' or text == '''❌''' else len(lowercase_		)
       A__ 					=       (width - text_length) // 2
       A__ 					=       width - text_length - left_indent
       return " " * left_indent + text + " " * right_indent







def SCREAMING_SNAKE_CASE							(			)  ->			str:



       """simple docstring"""

       A__ 					=       transformers_module.models.auto.configuration_auto.CONFIG_MAPPING_NAMES
       A__ 					=       {
           name: config_maping_names[code]
           for code, name in transformers_module.MODEL_NAMES_MAPPING.items()
           if code in config_maping_names
       }
       A__ 					=       {name: config.replace('''Config'''					,							''''''		) for name, config in model_name_to_config.items()}

       # Dictionaries flagging if each model prefix has a slow/fast tokenizer, backend in PT/TF/Flax.
       A__ 					=       collections.defaultdict(lowercase_		)
       A__ 					=       collections.defaultdict(lowercase_		)
       A__ 					=       collections.defaultdict(lowercase_		)
       A__ 					=       collections.defaultdict(lowercase_		)
       A__ 					=       collections.defaultdict(lowercase_		)

       # Let's lookup through all transformers object (once).
       for attr_name in dir(lowercase_		):
              A__ 					=       None
              if attr_name.endswith('''Tokenizer'''		):
                     A__ 					=       slow_tokenizers
                     A__ 					=       attr_name[:-9]
              elif attr_name.endswith('''TokenizerFast'''		):
                     A__ 					=       fast_tokenizers
                     A__ 					=       attr_name[:-13]
              elif _re_tf_models.match(lowercase_		) is not None:
                     A__ 					=       tf_models
                     A__ 					=       _re_tf_models.match(lowercase_		).groups()[0]
              elif _re_flax_models.match(lowercase_		) is not None:
                     A__ 					=       flax_models
                     A__ 					=       _re_flax_models.match(lowercase_		).groups()[0]
              elif _re_pt_models.match(lowercase_		) is not None:
                     A__ 					=       pt_models
                     A__ 					=       _re_pt_models.match(lowercase_		).groups()[0]

              if lookup_dict is not None:
                     while len(lowercase_		) > 0:
                            if attr_name in model_name_to_prefix.values():
                                   A__ 					=       True
                                   break
                            # Try again after removing the last word in the name
                            A__ 					=       ''''''.join(camel_case_split(lowercase_		)[:-1]		)

    # Let's build that table!
       A__ 					=       list(model_name_to_config.keys()		)
       model_names.sort(key=str.lower		)
       A__ 					=       ['''Model''', '''Tokenizer slow''', '''Tokenizer fast''', '''PyTorch support''', '''TensorFlow support''', '''Flax Support''']
       # We'll need widths to properly display everything in the center (+2 is to leave one extra space on each side).
       A__ 					=       [len(lowercase_		) + 2 for c in columns]
       A__ 					=       max([len(lowercase_		) for name in model_names]		) + 2

       # Build the table per se
       A__ 					=       '''|''' + '''|'''.join([_center_text(lowercase_					,							lowercase_		) for c, w in zip(lowercase_					,							lowercase_		)]		) + '''|\n'''
       # Use ":-----:" format to center-aligned table cell texts
       table += "|" + "|".join([''':''' + '''-''' * (w - 2) + ''':''' for w in widths]		) + "|\n"

       A__ 					=       {True: '''✅''', False: '''❌'''}
       for name in model_names:
              A__ 					=       model_name_to_prefix[name]
              A__ 					=       [
                  name,
                  check[slow_tokenizers[prefix]],
                  check[fast_tokenizers[prefix]],
                  check[pt_models[prefix]],
                  check[tf_models[prefix]],
                  check[flax_models[prefix]],
              ]
              table += "|" + "|".join([_center_text(lowercase_					,							lowercase_		) for l, w in zip(lowercase_					,							lowercase_		)]		) + "|\n"
       return table







def SCREAMING_SNAKE_CASE							(			lowercase_=False		)  ->			Optional[int]:



       """simple docstring"""

       A__					,				A__					,				A__					,				A__ 					=       _find_text_in_file(
           filename=os.path.join(lowercase_					,							'''index.md'''		)					,							start_prompt='''<!--This table is updated automatically from the auto modules'''					,							end_prompt='''<!-- End table-->'''					,							)
       A__ 					=       get_model_table_from_auto_modules()

       if current_table != new_table:
              if overwrite:
                     with open(os.path.join(lowercase_					,							'''index.md'''		)					,							'''w'''					,							encoding='''utf-8'''					,							newline='''\n'''		) as f:
                            f.writelines(lines[:start_index] + [new_table] + lines[end_index:]		)
              else:
                     raise ValueError(
                         '''The model table in the `index.md` has not been updated. Run `make fix-copies` to fix this.'''		)


if __name__ == "__main__":
  _lowerCamelCase      :						Optional[Any]							=  argparse.ArgumentParser()
  parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
  _lowerCamelCase      :						Optional[Any]							=  parser.parse_args()

  check_model_table(args.fix_and_overwrite)



'''simple docstring'''




def __lowerCAmelCase					(				UpperCamelCase__							)      ->       bool:
    if number < 0:
        raise ValueError('''number must not be negative'''							)
    return number & (number - 1) == 0


if __name__ == "__main__":
  import doctest

  doctest.testmod()
